Skip to main content

TensorFlow Addons.

Project description

TensorFlow Addons is a repository of contributions that conform to well- established API patterns, but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

tfa_nightly-0.5.0.dev20190722-cp36-cp36m-macosx_10_13_x86_64.whl (451.3 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190722-cp35-cp35m-macosx_10_13_x86_64.whl (451.3 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190722-cp34-cp34m-macosx_10_13_x86_64.whl (451.3 kB view details)

Uploaded CPython 3.4mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190722-cp27-cp27mu-manylinux1_x86_64.whl (560.3 kB view details)

Uploaded CPython 2.7mu

tfa_nightly-0.5.0.dev20190722-cp27-cp27m-macosx_10_13_x86_64.whl (451.3 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 59c476fa7c6786b69fe1f90629758925de8975235dbc4e762e5f5b9d825acf90
MD5 10b777d8fbc4010a346872856a7626ba
BLAKE2b-256 bb894e163b8086ee09426f995cb92977d67a41a5dde41e8428ee8874026bf366

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190722-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 451.3 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7a3547c01f376ee128ba985ac2dd912c7bdfef91a810cbdb800a3df35aa3c987
MD5 fb28c1cf9d8abec90ca0427b336a176e
BLAKE2b-256 87cd748ec01ec136980711f50b114215cd0f600389e899a52f0b1bf176498bec

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6a56371825110122b78e5cee090f612d7a59a919b1c028ac51964d79bc6b0cea
MD5 4f5070d6eed5f007b6ec0c0ad4b8d9d8
BLAKE2b-256 c354fa9610be470c21ed42fb8207e6dccbfaa6908279b48d9e9470b1fd160c0b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190722-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 451.3 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 92499b0ce49242c5ee132b33573a674bd510394f49b4ae5bcb116c451c80b5e8
MD5 909ff31af0962fd35add1c823aa2cafa
BLAKE2b-256 925cae2712f44abc3c3d9753a2abc35cdb1163d85ecd085add091bb141e9dbc6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d0f3f4376109810a3d7c0d60e89e1cac0efb0e8d8ec6d5e8d4b70d94a6695d09
MD5 876fa39ded78445aed8335a50c11efb6
BLAKE2b-256 698887ae3bbecce63a9c020c6d5e4457e99287ca31db85c08e062d728e3b8a45

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp34-cp34m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190722-cp34-cp34m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 451.3 kB
  • Tags: CPython 3.4m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp34-cp34m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e808da6170003663eae30c149c52631b9177bdc843e64024cce7c96117e4782e
MD5 a22537d3c8fc73788ee557c20a522833
BLAKE2b-256 93c60c73f15d79cdd11db51b835537dd1f390552fb7fad79259b1b888ae87e6e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 006ac4611108efeaa3fb1d734e5ae01ce2a06958d496f1642bffd5688880bd79
MD5 85b4d4ef5e00327f69218e82522502ee
BLAKE2b-256 7da6a45825a378bd3622290da60439d6d00c96ab17e65a8206158e7ab3c90029

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190722-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190722-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 451.3 kB
  • Tags: CPython 2.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190722-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 836f393072a5e42e9fd7066fa932d9ade791510695ae6d788e629929d5036ed2
MD5 b6fb4b4e774780dbe2815e68846ed176
BLAKE2b-256 7fb11623e782132c72378009bf7227e33351b2cf62db171970b5dde5090d2ea7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page